Programação linear e suas aplicações: definição e métodos de soluções

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1. Verfasser: Araújo, Pedro Felippe da Silva
Publikationsdatum: 2013
Format: Master thesis
Sprache: por
Quelle: Repositório Institucional da UFG
Download full: http://repositorio.bc.ufg.br/tede/handle/tede/3126
Zusammenfassung: Problems involving the idea of optimization are found in various elds of study, such as, in Economy is in search of cost minimization and pro t maximization in a rm or country, from the available budget; in Nutrition is seeking to redress the essential nutrients daily with the lowest possible cost, considering the nancial capacity of the individual; in Chemistry studies the pressure and temperature minimum necessary to accomplish a speci c chemical reaction in the shortest possible time; in Engineering seeks the lowest cost for the construction of an aluminium alloy mixing various raw materials and restrictions obeying minimum and maximum of the respective elements in the alloy. All examples cited, plus a multitude of other situations, seek their Remedy by Linear Programming. They are problems of minimizing or maximizing a linear function subject to linear inequalities or Equalities, in order to nd the best solution to this problem. For this show in this paper methods of problem solving Linear Programming. There is an emphasis on geometric solutions and Simplex Method, to form algebraic solution. Wanted to show various situations which may t some of these problems, some general cases more speci c cases. Before arriving eventually in solving linear programming problems, builds up the eld work of this type of optimization, Convex Sets. There are presentations of de nitions and theorems essential to the understanding and development of these problems, besides discussions on the e ciency of the methods applied. During the work, it is shown that there are cases which do not apply the solutions presented, but mostly t e ciently, even as a good approximation.
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Cruz, José Yunier Bello
Sandoval, Wilfredo Sosa
Melo, Jefferson Divino Gonçalves de
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dc.contributor.author.fl_str_mv Araújo, Pedro Felippe da Silva
dc.contributor.referee1.fl_str_mv Cruz, José Yunier Bello
dc.contributor.referee2.fl_str_mv Sandoval, Wilfredo Sosa
dc.contributor.referee3.fl_str_mv Melo, Jefferson Divino Gonçalves de
dc.date.accessioned.fl_str_mv 2014-09-23T11:34:23Z
dc.date.issued.fl_str_mv 2013-03-18
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dc.identifier.citation.fl_str_mv ARAÚJO, Pedro Felippe da Silva. Programação linear e suas aplicações: definição e métodos de soluções. 2013. 74 f. Dissertação (Mestrado Profissional em Matemática em Rede Nacional) - Universidade Federal de Goiás, Goiânia, 2013.
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dc.publisher.department.fl_str_mv Instituto de Matemática e Estatística - IME (RG)
dc.publisher.initials.fl_str_mv UFG
dc.publisher.none.fl_str_mv Universidade Federal de Goiás
dc.publisher.program.fl_str_mv Programa de Pós-graduação em PROFMAT (RG)
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dc.relation.references.por.fl_str_mv [1] Anton, Howard; Chris Rorres; Algebra Linear com Aplica c~oes: Porto Alegre, Bookman, 2001. [2] Boldrini, Jos e Lu s; Algebra Linear: S~ao Paulo, Harper & Row do Brasil, 1980. [3] Hefez, Abramo; Fernandez, Cec lia S.; Introdu c~ao a Agebra Linear: Rio de Janeiro, SBM, 2012. [4] Elseit, H.A.; Sandblom, C.{L.; Linear Programming and its applications: Springer { Verlag Berlin Heidelberg, 2007. [5] Webster, Roger; Convexity: Oxford University Press, 1994. [6] B arsov, A. S.; Qu e es la programaci on Lineal: Editorial MIR, Traducci on al espa~nol: 1977. [7] Solod ovnikov, A. S.; Sistemas de Desigualdades Lineales: Editorial MIR, Traducci on al espa~nol: 1980. [8] Barbosa, Ruy Madsen; Programa c~ao Linear: S~ao Paulo, Nobel, 1973. [9] Puccini, Abelardo de Lima; Introdu c~ao a Programa c~ao Linear: Rio de Janeiro, Livros T ecnicos e Cient cos Editora S. A., 1978. [10] Beckman, F. S., The Solution of Linear Equations by the Conjugate Gradient Method, in Mathmatical Methods for Digital Computers 1, A. Ralston and H. S. Wilf (editors), John Wiley, New York, 1960. [11] Charnes, A., Optimality and Degeneracy in Linear Programming, Econometrica 20, 1952. [12] Dantzig, G. B., Activity Analysis of Production and Allocation, T. C. Koopmans, John Wiley, New York, 1951. [13] Ford, L. K. Jr., and Fulkerson, D. K., Flows in Networks, Princeton University Press, Princeton, New Jersey, 1962. [14] Hitchcock, F. L., The Distribution of a product from Several Sources to Numerous Localities, J. Math. Phys. 20, 1941. [15] Karmarkar, N. K., A New Polinomial-time Algorithm for Linear Programming, Combinatorica 4, 1984. 112 [16] Koopmans, T. C., Optimum Utilization of the Transportation System, Proceedings of the International Statistical Conference, Washington, D. C., 1947. [17] Lemke, C. E., The Dual Method of Solving the Linear Programming Problem, Naval Research Logistics Quarterly 1, 1, 1954. [18] Kantorovich, L.V. The best use of economic resources, Moscow, 1959. [19] Leontief, Wassily W., Input-Output Economics, 2nd ed., New York, Oxford University Press, 1986. [20] Christodoulos A. Floudas and Panos M. Pardalos, Encyclopedia of Optimization, second edition, Springer, 2009. [21] Manne, A. S., Notes on Parametric Linear Programming, Rand Paper p. 468, The Rand Corporation, Santa Monica, CA, 1953.
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info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFG
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
dc.subject.cnpq.fl_str_mv MATEMATICA::MATEMATICA APLICADA
dc.subject.eng.fl_str_mv Convex sets
Linear programming
Simplex method
dc.subject.por.fl_str_mv Conjuntos convexos
Programação linear
Método simplex
dc.title.alternative.eng.fl_str_mv Linear programming and its applications: definition and methods of solutions
dc.title.por.fl_str_mv Programação linear e suas aplicações: definição e métodos de soluções
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
description Problems involving the idea of optimization are found in various elds of study, such as, in Economy is in search of cost minimization and pro t maximization in a rm or country, from the available budget; in Nutrition is seeking to redress the essential nutrients daily with the lowest possible cost, considering the nancial capacity of the individual; in Chemistry studies the pressure and temperature minimum necessary to accomplish a speci c chemical reaction in the shortest possible time; in Engineering seeks the lowest cost for the construction of an aluminium alloy mixing various raw materials and restrictions obeying minimum and maximum of the respective elements in the alloy. All examples cited, plus a multitude of other situations, seek their Remedy by Linear Programming. They are problems of minimizing or maximizing a linear function subject to linear inequalities or Equalities, in order to nd the best solution to this problem. For this show in this paper methods of problem solving Linear Programming. There is an emphasis on geometric solutions and Simplex Method, to form algebraic solution. Wanted to show various situations which may t some of these problems, some general cases more speci c cases. Before arriving eventually in solving linear programming problems, builds up the eld work of this type of optimization, Convex Sets. There are presentations of de nitions and theorems essential to the understanding and development of these problems, besides discussions on the e ciency of the methods applied. During the work, it is shown that there are cases which do not apply the solutions presented, but mostly t e ciently, even as a good approximation.
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identifier_str_mv ARAÚJO, Pedro Felippe da Silva. Programação linear e suas aplicações: definição e métodos de soluções. 2013. 74 f. Dissertação (Mestrado Profissional em Matemática em Rede Nacional) - Universidade Federal de Goiás, Goiânia, 2013.
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publishDate 2013
publishDateSort 2013
publisher.none.fl_str_mv Universidade Federal de Goiás
reponame_str Repositório Institucional da UFG
repository.mail.fl_str_mv grt.bc@ufg.br
repository.name.fl_str_mv Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
spelling Cruz, José Yunier Bellohttp://lattes.cnpq.br/8377200040018415Cruz, José Yunier BelloSandoval, Wilfredo SosaMelo, Jefferson Divino Gonçalves deAraújo, Pedro Felippe da Silva2014-09-23T11:34:23Z2013-03-18ARAÚJO, Pedro Felippe da Silva. Programação linear e suas aplicações: definição e métodos de soluções. 2013. 74 f. Dissertação (Mestrado Profissional em Matemática em Rede Nacional) - Universidade Federal de Goiás, Goiânia, 2013.http://repositorio.bc.ufg.br/tede/handle/tede/3126Problems involving the idea of optimization are found in various elds of study, such as, in Economy is in search of cost minimization and pro t maximization in a rm or country, from the available budget; in Nutrition is seeking to redress the essential nutrients daily with the lowest possible cost, considering the nancial capacity of the individual; in Chemistry studies the pressure and temperature minimum necessary to accomplish a speci c chemical reaction in the shortest possible time; in Engineering seeks the lowest cost for the construction of an aluminium alloy mixing various raw materials and restrictions obeying minimum and maximum of the respective elements in the alloy. All examples cited, plus a multitude of other situations, seek their Remedy by Linear Programming. They are problems of minimizing or maximizing a linear function subject to linear inequalities or Equalities, in order to nd the best solution to this problem. For this show in this paper methods of problem solving Linear Programming. There is an emphasis on geometric solutions and Simplex Method, to form algebraic solution. Wanted to show various situations which may t some of these problems, some general cases more speci c cases. Before arriving eventually in solving linear programming problems, builds up the eld work of this type of optimization, Convex Sets. There are presentations of de nitions and theorems essential to the understanding and development of these problems, besides discussions on the e ciency of the methods applied. During the work, it is shown that there are cases which do not apply the solutions presented, but mostly t e ciently, even as a good approximation.Problemas que envolvem a ideia de otimiza c~ao est~ao presentes em v arios campos de estudo como, por exemplo, na Economia se busca a minimiza c~ao de custos e a maximiza c~ao do lucro em uma rma ou pa s, a partir do or camento dispon vel; na Nutri c~ao se procura suprir os nutrientes essenciais di arios com o menor custo poss vel, considerando a capacidade nanceira do indiv duo; na Qu mica se estuda a press~ao e a temperatura m nimas necess arias para realizar uma rea c~ao qu mica espec ca no menor tempo poss vel; na Engenharia se busca o menor custo para a confec c~ao de uma liga de alum nio misturando v arias mat erias-primas e obedencendo as restri c~oes m nimas e m aximas dos respectivos elementos presentes na liga. Todos os exemplos citados, al em de uma in nidade de outras situa c~oes, buscam sua solu c~ao atrav es da Programa c~ao Linear. S~ao problemas de minimizar ou maximizar uma fun c~ao linear sujeito a Desigualdades ou Igualdades Lineares, com o intuito de encontrar a melhor solu c~ao deste problema. Para isso, mostram-se neste trabalho os m etodos de solu c~ao de problemas de Programa c~ao Linear. H a ^enfase nas solu c~oes geom etricas e no M etodo Simplex, a forma alg ebrica de solu c~ao. Procuram-se mostrar v arias situa c~oes as quais podem se encaixar alguns desses problemas, dos casos gerais a alguns casos mais espec cos. Antes de chegar, eventualmente, em como solucionar problemas de Programa c~ao Linear, constr oi-se o campo de trabalho deste tipo de otimiza c~ao, os Conjuntos Convexos. H a apresenta c~oes das de ni c~oes e teoremas essenciais para a compreens~ao e o desenvolvimento destes problemas; al em de discuss~oes sobre a e ci^encia dos m etodos aplicados. Durante o trabalho, mostra-se que h a casos os quais n~ao se aplicam as solu c~oes apresentadas, por em, em sua maioria, se enquadram de maneira e ciente, mesmo como uma boa aproxima c~ao.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfhttp://repositorio.bc.ufg.br/tede/retrieve/8365/Ara%c3%bajo%2c%20Pedro%20Felippe%20da%20Silva.pdf.jpgporUniversidade Federal de GoiásPrograma de Pós-graduação em PROFMAT (RG)UFGBrasilInstituto de Matemática e Estatística - IME (RG)[1] Anton, Howard; Chris Rorres; Algebra Linear com Aplica c~oes: Porto Alegre, Bookman, 2001. [2] Boldrini, Jos e Lu s; Algebra Linear: S~ao Paulo, Harper & Row do Brasil, 1980. [3] Hefez, Abramo; Fernandez, Cec lia S.; Introdu c~ao a Agebra Linear: Rio de Janeiro, SBM, 2012. [4] Elseit, H.A.; Sandblom, C.{L.; Linear Programming and its applications: Springer { Verlag Berlin Heidelberg, 2007. [5] Webster, Roger; Convexity: Oxford University Press, 1994. [6] B arsov, A. S.; Qu e es la programaci on Lineal: Editorial MIR, Traducci on al espa~nol: 1977. [7] Solod ovnikov, A. S.; Sistemas de Desigualdades Lineales: Editorial MIR, Traducci on al espa~nol: 1980. [8] Barbosa, Ruy Madsen; Programa c~ao Linear: S~ao Paulo, Nobel, 1973. [9] Puccini, Abelardo de Lima; Introdu c~ao a Programa c~ao Linear: Rio de Janeiro, Livros T ecnicos e Cient cos Editora S. A., 1978. [10] Beckman, F. S., The Solution of Linear Equations by the Conjugate Gradient Method, in Mathmatical Methods for Digital Computers 1, A. Ralston and H. S. Wilf (editors), John Wiley, New York, 1960. [11] Charnes, A., Optimality and Degeneracy in Linear Programming, Econometrica 20, 1952. [12] Dantzig, G. B., Activity Analysis of Production and Allocation, T. C. Koopmans, John Wiley, New York, 1951. [13] Ford, L. K. Jr., and Fulkerson, D. K., Flows in Networks, Princeton University Press, Princeton, New Jersey, 1962. [14] Hitchcock, F. L., The Distribution of a product from Several Sources to Numerous Localities, J. Math. Phys. 20, 1941. [15] Karmarkar, N. K., A New Polinomial-time Algorithm for Linear Programming, Combinatorica 4, 1984. 112 [16] Koopmans, T. C., Optimum Utilization of the Transportation System, Proceedings of the International Statistical Conference, Washington, D. C., 1947. [17] Lemke, C. E., The Dual Method of Solving the Linear Programming Problem, Naval Research Logistics Quarterly 1, 1, 1954. [18] Kantorovich, L.V. The best use of economic resources, Moscow, 1959. [19] Leontief, Wassily W., Input-Output Economics, 2nd ed., New York, Oxford University Press, 1986. [20] Christodoulos A. Floudas and Panos M. Pardalos, Encyclopedia of Optimization, second edition, Springer, 2009. [21] Manne, A. 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spellingShingle Programação linear e suas aplicações: definição e métodos de soluções
Araújo, Pedro Felippe da Silva
Conjuntos convexos
Programação linear
Método simplex
Convex sets
Linear programming
Simplex method
MATEMATICA::MATEMATICA APLICADA
status_str publishedVersion
title Programação linear e suas aplicações: definição e métodos de soluções
title_full Programação linear e suas aplicações: definição e métodos de soluções
title_fullStr Programação linear e suas aplicações: definição e métodos de soluções
title_full_unstemmed Programação linear e suas aplicações: definição e métodos de soluções
title_short Programação linear e suas aplicações: definição e métodos de soluções
title_sort Programação linear e suas aplicações: definição e métodos de soluções
topic Conjuntos convexos
Programação linear
Método simplex
Convex sets
Linear programming
Simplex method
MATEMATICA::MATEMATICA APLICADA
url http://repositorio.bc.ufg.br/tede/handle/tede/3126